Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Juan M. Huerta"'
Publikováno v:
Urología Colombiana, Vol 33, Iss 2 (2024)
Objective: Determine the association and utility of measuring estradiol-to-testosterone ratio on erectile dysfunction (ED) and libido. Materials and methods: This is a case–control study involving 32 adult male patients with chronic pathologies who
Externí odkaz:
https://doaj.org/article/1dafae1026cb49d2a2f5371f5a38c25e
Autor:
Rachit Srivastava, Amol Kapila, Eliza Chang, Susan Zhang, Carmem Domingues Khoa Pham, Evan Picard, Ranqi Zhu, Juan M. Huerta, R. Shraga, Alexandra Dango, Jonathan Lenaghan, Steve Milton, Kevin Brackney
Publikováno v:
ADKDD@KDD
The PlaceIQ platform is a large-scale data analysis system created on the concept of location. This paper is a system overview where we provide an description of the nature of the data sources, frame of reference, abstractions, algorithmic approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19f2711dfcfb0f572b928fc83d4c0d13
https://doi.org/10.1145/2648584.2648588
https://doi.org/10.1145/2648584.2648588
Autor:
Juan M. Huerta, Richard M. Stern
Publikováno v:
Speech Communication. 34:213-225
We present a method to reduce the degradation in recognition accuracy introduced by full-rate GSM RPE-LTP coding by combining sets of acoustic models trained under different distortion conditions. During recognition, the a posteriori probabilities of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f66f5ec5b6802c1a593569483d0203e5
https://doi.org/10.1016/s0167-6393(00)00055-8
https://doi.org/10.1016/s0167-6393(00)00055-8
Publikováno v:
Proceedings of the ACM SIGKDD Workshop on Human Computation.
In large scale online multi-user communities, the phenomenon of 'participation inequality,' has been described as generally following a more or less 90-9-1 rule [9]. In this paper, we examine crowdsourcing participation levels inside the enterprise (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7e3f7e838e2a5565cda687ae4721427
https://doi.org/10.1145/1837885.1837895
https://doi.org/10.1145/1837885.1837895
Autor:
Juan M. Huerta
Publikováno v:
SIGIR
We present a new efficient algorithm for top-N match retrieval of sequential patterns. Our approach is based on an incremental approximation of the string edit distance using index information and a stack based search. Our approach produces hypothese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71d2afd1fe937217f829d6fbe7849bf
https://doi.org/10.1145/1835449.1835634
https://doi.org/10.1145/1835449.1835634
Autor:
Juan M. Huerta, Cheng Wu, Andrej Sakrajda, Sasha Caskey, Ea-Ee Jan, Alexander Faisman, Shai Ben-David, Wen Liu, Antonio Lee, Osamuyimen Stewart, Michael Frissora, David Lubensky
Publikováno v:
Interspeech 2009.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0a1273fd65d7644330b7b0a4ff7bc7a
https://doi.org/10.21437/interspeech.2009-157
https://doi.org/10.21437/interspeech.2009-157
Publikováno v:
KDD Workshop on Human Computation
In this paper, we describe the design principles used for implementing crowdsourcing within the enterprise. This is based on our distinction between two kinds of crowdsourcing: enterprise (inside a firewall) versus the public domain. Whereas public d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::212ce6892a067c6520d510bf02eb6623
https://doi.org/10.1145/1600150.1600168
https://doi.org/10.1145/1600150.1600168
Autor:
Roberto Pieraccini, Juan M. Huerta
Publikováno v:
Recent Trends in Discourse and Dialogue ISBN: 9781402068201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e9aec0d1804853b9c3e7c12b5aa9774
https://doi.org/10.1007/978-1-4020-6821-8_1
https://doi.org/10.1007/978-1-4020-6821-8_1
Autor:
Juan M. Huerta
Publikováno v:
EMNLP
We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a simple method to establish semantic saliency in dialog, documents, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eb489b08253e2de6277daeae2bd90fd
https://doi.org/10.3115/1613715.1613840
https://doi.org/10.3115/1613715.1613840
Autor:
Juan M. Huerta, Xiang Li
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ec4fe6b68bc6f9f926b189d2325086a
https://doi.org/10.21437/interspeech.2007-489
https://doi.org/10.21437/interspeech.2007-489